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06/21/2023
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
We propose a method for learning dynamical systems from high-dimensional...
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12/09/2022
Deep Learning of Causal Structures in High Dimensions
Recent years have seen rapid progress at the intersection between causal...
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11/21/2022
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
Graphical models are an important tool in exploring relationships betwee...
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05/03/2022
Scalable Regularised Joint Mixture Models
In many applications, data can be heterogeneous in the sense of spanning...
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04/11/2022
On unsupervised projections and second order signals
Linear projections are widely used in the analysis of high-dimensional d...
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04/05/2021
Tailored Bayes: a risk modelling framework under unequal misclassification costs
Risk prediction models are a crucial tool in healthcare. Risk prediction...
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06/27/2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
Recent years have seen many advances in methods for causal structure lea...
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02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
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08/21/2019
Latent group structure and regularized regression
Regression modelling typically assumes homogeneity of the conditional di...
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05/27/2019
Ancestral causal learning in high dimensions with a human genome-wide application
We consider learning ancestral causal relationships in high dimensions. ...
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02/22/2019
Model-based clustering in very high dimensions via adaptive projections
Mixture models are a standard approach to dealing with heterogeneous dat...
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08/02/2018
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
Penalized likelihood methods are widely used for high-dimensional regres...
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10/02/2017
Scalable Bayesian regression in high dimensions with multiple data sources
Current applications of high-dimensional regression in biomedicine often...
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11/03/2016
High-dimensional regression over disease subgroups
We consider high-dimensional regression over subgroups of observations. ...
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04/04/2014
Exact Estimation of Multiple Directed Acyclic Graphs
This paper considers the problem of estimating the structure of multiple...
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01/10/2013